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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 9200
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    Explanations

    phrases related to different levels or degrees of something

    oai_token-act-pair · gpt-3.5-turbo

    mentions of levels or degrees of various concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.80
    fect
    -0.73
     Andromeda
    -0.68
    ãĥĹ
    -0.67
     Twins
    -0.67
    sov
    -0.66
    vous
    -0.66
    ãĥĩ
    -0.66
    orius
    -0.65
     Rounds
    -0.65
    POSITIVE LOGITS
     crossings
    0.90
     assurance
    0.78
     levels
    0.76
    level
    0.74
     level
    0.73
     rise
    0.71
    xual
    0.69
     attainment
    0.68
     elevation
    0.68
     difference
    0.68
    Activations Density 0.037%

    No Known Activations